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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 151–200 of 1041 papers

TitleStatusHype
Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare—0
A Meta Survey of Quality Evaluation Criteria in Explanation Methods—0
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering—0
Diagnosing AI Explanation Methods with Folk Concepts of Behavior—0
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making—0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning—0
A Means-End Account of Explainable Artificial Intelligence—0
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems—0
Detection of Sensor-To-Sensor Variations using Explainable AI—0
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis—0
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI—0
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods—0
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
Argumentation-based Agents that Explain their Decisions—0
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?—0
Clash of the Explainers: Argumentation for Context-Appropriate Explanations—0
A unified logical framework for explanations in classifier systems—0
A Review of Explainable Artificial Intelligence in Manufacturing—0
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework—0
A Brief Review of Explainable Artificial Intelligence in Healthcare—0
Argumentation Theoretical Frameworks for Explainable Artificial Intelligence—0
Argumentative XAI: A Survey—0
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity—0
Cognitive Perspectives on Context-based Decisions and Explanations—0
Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI—0
Are Linear Regression Models White Box and Interpretable?—0
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment—0
Combining Counterfactuals With Shapley Values To Explain Image Models—0
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME—0
A Survey of Accessible Explainable Artificial Intelligence Research—0
Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications—0
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis—0
Concept Embedding Analysis: A Review—0
Concept Induction using LLMs: a user experiment for assessment—0
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting—0
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants—0
A survey on Concept-based Approaches For Model Improvement—0
Contextual Trust—0
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI—0
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma—0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Are Large Language Models the New Interface for Data Pipelines?—0
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models—0
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